Transition state theory-inspired neural network for estimating the viscosity of deep eutectic solvents

LY Yu, GP Ren, XJ Hou, KJ Wu, Y He - ACS central science, 2022 - ACS Publications
The lack of accurate methods for predicting the viscosity of solvent materials, especially
those with complex interactions, remains unresolved. Deep eutectic solvents (DESs), an …

Transition State Theory-Inspired Neural Network for Estimating the Viscosity of Deep Eutectic Solvents

LY Yu, GP Ren, XJ Hou, KJ Wu… - ACS central science, 2022 - pubmed.ncbi.nlm.nih.gov
The lack of accurate methods for predicting the viscosity of solvent materials, especially
those with complex interactions, remains unresolved. Deep eutectic solvents (DESs), an …

[HTML][HTML] Transition State Theory-Inspired Neural Network for Estimating the Viscosity of Deep Eutectic Solvents

LY Yu, GP Ren, XJ Hou, KJ Wu, Y He - ACS Central Science, 2022 - ncbi.nlm.nih.gov
The lack of accurate methods for predicting the viscosity of solvent materials, especially
those with complex interactions, remains unresolved. Deep eutectic solvents (DESs), an …

Transition State Theory-Inspired Neural Network for Estimating the Viscosity of Deep Eutectic Solvents.

LY Yu, GP Ren, XJ Hou, KJ Wu, Y He - ACS Central Science, 2022 - europepmc.org
The lack of accurate methods for predicting the viscosity of solvent materials, especially
those with complex interactions, remains unresolved. Deep eutectic solvents (DESs), an …